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The Q-system is one of the most applied classification tool in modern tunnelling.
At the end of that section, the applied classification methods Random Forest (RF) and linear SVM are briefly explained (Section 4.5).
Initially, we applied Classification and Regression Trees (CART) algorithm for decision tree classification, naïve bayes and support vector machine techniques to evaluate the prediction accuracy on accidents data.
We applied classification trees at either scale to capture a hierarchy of relationships between the explanatory variables and brush-tailed rock-wallaby presence/absence.
At hardware part, there is only one receiver together with the antenna whereas in the software part, the applied classification algorithms are relatively simpler than those used in vision-based techniques.
We applied classification and regression trees analysis to select from among all clinical characteristics and markers the optimal prognostic criterion that divided patients with type 1 diabetes according to risk.
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One way of overcoming this problem is to adopt a proper selection band method before applying classification task.
The main purpose of applying classification approach is to enable healthcare organisations to provide accurate amount of medication.
One may choose one of the provided vessel attributes such as vessel type or category and apply classification methods for categorizing images according to the selected attribute.
We apply classification tree analysis to discover different perspectives of Willingness to Pay (WTP) and Sell (WTS) of academic inventors when valuing their patents and technologies.
The main benefit of this research is to apply classification as a first step in the activity and behavior recognition of road-users in traffic scenes.
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